Como puedo resolver este binomio <br> (10-m)3

valina [46]

The best thing to do here is to find 1%, then multiply this by 12.
72/100= 0.72
0.72*12= 8.64
Therefore, 12% of 72 is 8.64
Hope this helps :)

6 0

3 years ago

Read 2 more answers

Hello, I'm Jordan and I have a question in math so Translate the following sentence into an equation, solve the equation. Then s

statuscvo [17]

Answer:

<h3>lets create equation first then to solve it</h3>

.

Step-by-step explanation:

5+8+a=20

<h3>lets solve it.</h3>

5+8+a=20

13+a=20

a=20-13

a=7.

<h3>maybe it will be correct.</h3>

7 0

1 year ago

Jonah has a recipe that uses 1 1/2 cups of brown sugar and 2 1/3 cups of flour to make 24 muffins. He has a total of 7 cups of f

Wittaler [7]

7 total cups of flour divided by 2.33 cups of flour needed per batch of 24 muffins equals three batches, then multiply total number of batches by number of muffins in each batch- 3x24- gives you a total of 72 muffins

4 0

3 years ago

A bag of marbles contains 3 yellow, 2 red, 2 green, and 1 blue marble. What is the probability of selecting a green marble?

Papessa [141]

Answer:

2/8

Step-by-step explanation:

There are 2 green marbles.

In all, there are 8 marbles.

So, the probability is 2/8.

6 0

3 years ago

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Assume that the heights of men are normally distributed with a mean of 69.0 inches and a standard deviation of 2.8 inches. If th

ioda

Answer:

The bottom cutoff heights to be eligible for this experiment is 66.1 inches.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Mean of 69.0 inches and a standard deviation of 2.8 inches.

This means that $\mu = 69, \sigma = 2.8$